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SmoQyDEAC.jl: A differential evolution package for the analytic continuation of imaginary time correlation functions

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arxiv 2407.04568 v2 pith:PXAXPLKJ submitted 2024-07-05 cond-mat.stat-mech

James Neuhaus , Nathan S. Nichols , Debshikha Banerjee , Benjamin Cohen-Stead , Thomas A. Maier , Adrian Del Maestro , Steven Johnston This is my paper · ORCID
classification cond-mat.stat-mech
keywords packagesmoqydeacanalyticcontinuationcorrelationfunctionsgithubimaginary
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We introduce the SmoQyDEAC.jl package, a Julia implementation of the Differential Evolution Analytic Continuation (DEAC) algorithm [N. S. Nichols et al., Phys. Rev. E 106, 025312 (2022)] for analytically continuing noisy imaginary time correlation functions to the real frequency axis. Our implementation supports fermionic and bosonic correlation functions on either the imaginary time or Matsubara frequency axes, and treatment of the covariance error in the input data. This paper presents an overview of the DEAC algorithm and the features implemented in the SmoQyDEAC.jl. It also provides detailed benchmarks of the package's output against the popular maximum entropy and stochastic analytic continuation methods. The code for this package can be downloaded from our GitHub repository at https://github.com/SmoQySuite/SmoQyDEAC.jl or installed using the Julia package manager. The online documentation, including examples, can be accessed at https://smoqysuite.github.io/SmoQyDEAC.jl/stable/.

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